Abstract
Background: The deep squat is not only one of the basic movement patterns of the human body, but also a compound movement that can directly train the hip force and has a good exercise effect on the posterior chain muscle groups. However, improper action patterns can affect the quality of action. Research objective: In order to improve training efficiency and reduce sports injuries, a method which can optimize the technology and movements of the deep squat needs to be designed. Methods: The tracking algorithm based on template matching, combined with biomechanical knowledge, was analyzed separately from the sagittal and coronal planes. Emphasis is placed on the analysis of the power chain of force and unbalance. Therefore, two force arms and two angles represent the power chain, and three line segments represent balance on both sides of the body. Results: The performance was more stable during the actual scenario test, and the motion information could be accurately captured and analyzed. Conclusion: This method can obtain the force arm and joint angle of the deep squat movement, and also assist in screening the balance of both sides of the limb. Thus, the pattern and rhythm of the action can be adjusted accordingly.
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Code https://github.com/pyqpyqpyqpyq789/Object-Tracking-for-Squat
Dataset https://aistudio.baidu.com/aistudio/datasetdetail/103531
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Acknowledgements
Sincere thanks to “Han Tang Power Lifting” for the technical support and for the material and concepts that provided great help for this study. This work was supported by Beijing college students’ innovation and entrepreneurship training program under Grant No. S202210029010.
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Pang, Y., Sun, H., Pang, Y. (2023). Auxiliary Squat Training Method Based on Object Tracking. In: Nakamatsu, K., Patnaik, S., Kountchev, R., Li, R., Aharari, A. (eds) Advanced Intelligent Virtual Reality Technologies. Smart Innovation, Systems and Technologies, vol 330. Springer, Singapore. https://doi.org/10.1007/978-981-19-7742-8_13
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DOI: https://doi.org/10.1007/978-981-19-7742-8_13
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